{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:M4J7GJ2JLTLZA5MOLUGLHUWWMS","short_pith_number":"pith:M4J7GJ2J","canonical_record":{"source":{"id":"2308.03060","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-06T09:08:37Z","cross_cats_sorted":[],"title_canon_sha256":"c2516c9b605fb92fae4846628bf1bdac796923949c830fa0f74c6bd2941d34b2","abstract_canon_sha256":"c6434b70d7495d0c2f39e0940bcd386f3c6e76bfcd4d3c906f9aa10b2eabe115"},"schema_version":"1.0"},"canonical_sha256":"6713f327495cd790758e5d0cb3d2d66499af51bcecf1c7a3d7d221e2abe92df2","source":{"kind":"arxiv","id":"2308.03060","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.03060","created_at":"2026-07-05T06:38:11Z"},{"alias_kind":"arxiv_version","alias_value":"2308.03060v1","created_at":"2026-07-05T06:38:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.03060","created_at":"2026-07-05T06:38:11Z"},{"alias_kind":"pith_short_12","alias_value":"M4J7GJ2JLTLZ","created_at":"2026-07-05T06:38:11Z"},{"alias_kind":"pith_short_16","alias_value":"M4J7GJ2JLTLZA5MO","created_at":"2026-07-05T06:38:11Z"},{"alias_kind":"pith_short_8","alias_value":"M4J7GJ2J","created_at":"2026-07-05T06:38:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:M4J7GJ2JLTLZA5MOLUGLHUWWMS","target":"record","payload":{"canonical_record":{"source":{"id":"2308.03060","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-06T09:08:37Z","cross_cats_sorted":[],"title_canon_sha256":"c2516c9b605fb92fae4846628bf1bdac796923949c830fa0f74c6bd2941d34b2","abstract_canon_sha256":"c6434b70d7495d0c2f39e0940bcd386f3c6e76bfcd4d3c906f9aa10b2eabe115"},"schema_version":"1.0"},"canonical_sha256":"6713f327495cd790758e5d0cb3d2d66499af51bcecf1c7a3d7d221e2abe92df2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:38:11.373588Z","signature_b64":"aUcPsGS9C7WU5kgwVFFoHephA+WzdMJHGNP4M92q9UX4hO4lM7x4EDc3Ffl6cQKXkoaxlqrDaOj6RNY8Jqw4Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6713f327495cd790758e5d0cb3d2d66499af51bcecf1c7a3d7d221e2abe92df2","last_reissued_at":"2026-07-05T06:38:11.373093Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:38:11.373093Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2308.03060","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:38:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uezbig6DQ1tFn9CW/9pGZJMJjhRy3TcQe7Xs4IE/gW2PU6JApeZ7n1eoieVkYTGJ46XkrzJjl7q6ZLtmlB+GCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T13:19:37.442439Z"},"content_sha256":"22310eb1177de4e86f544ac893068039bccb0557130f38d4f7aa3326caf854c7","schema_version":"1.0","event_id":"sha256:22310eb1177de4e86f544ac893068039bccb0557130f38d4f7aa3326caf854c7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:M4J7GJ2JLTLZA5MOLUGLHUWWMS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chaofeng Chen, Haoning Wu, Jiadi Mo, Jingwen Hou, Liang Liao, Qiong Yan, Weisi Lin, Wenxiu Sun","submitted_at":"2023-08-06T09:08:37Z","abstract_excerpt":"Image Quality Assessment (IQA) is a fundamental task in computer vision that has witnessed remarkable progress with deep neural networks. Inspired by the characteristics of the human visual system, existing methods typically use a combination of global and local representations (\\ie, multi-scale features) to achieve superior performance. However, most of them adopt simple linear fusion of multi-scale features, and neglect their possibly complex relationship and interaction. In contrast, humans typically first form a global impression to locate important regions and then focus on local details "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.03060","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2308.03060/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T06:38:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dV5rBxMAW+tFIjHruzBvz2+CnIG9etFWQrWG1nCKATZfku/kJVk38pWAXU+DG+WpAJRxwP8+t6twpJ5GkRGiAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T13:19:37.442926Z"},"content_sha256":"47796f96091669ad443b55c494ae1807c86860c524fcbaa5ac0d175b167aad69","schema_version":"1.0","event_id":"sha256:47796f96091669ad443b55c494ae1807c86860c524fcbaa5ac0d175b167aad69"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M4J7GJ2JLTLZA5MOLUGLHUWWMS/bundle.json","state_url":"https://pith.science/pith/M4J7GJ2JLTLZA5MOLUGLHUWWMS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M4J7GJ2JLTLZA5MOLUGLHUWWMS/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-05T13:19:37Z","links":{"resolver":"https://pith.science/pith/M4J7GJ2JLTLZA5MOLUGLHUWWMS","bundle":"https://pith.science/pith/M4J7GJ2JLTLZA5MOLUGLHUWWMS/bundle.json","state":"https://pith.science/pith/M4J7GJ2JLTLZA5MOLUGLHUWWMS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M4J7GJ2JLTLZA5MOLUGLHUWWMS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:M4J7GJ2JLTLZA5MOLUGLHUWWMS","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"c6434b70d7495d0c2f39e0940bcd386f3c6e76bfcd4d3c906f9aa10b2eabe115","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-06T09:08:37Z","title_canon_sha256":"c2516c9b605fb92fae4846628bf1bdac796923949c830fa0f74c6bd2941d34b2"},"schema_version":"1.0","source":{"id":"2308.03060","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2308.03060","created_at":"2026-07-05T06:38:11Z"},{"alias_kind":"arxiv_version","alias_value":"2308.03060v1","created_at":"2026-07-05T06:38:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2308.03060","created_at":"2026-07-05T06:38:11Z"},{"alias_kind":"pith_short_12","alias_value":"M4J7GJ2JLTLZ","created_at":"2026-07-05T06:38:11Z"},{"alias_kind":"pith_short_16","alias_value":"M4J7GJ2JLTLZA5MO","created_at":"2026-07-05T06:38:11Z"},{"alias_kind":"pith_short_8","alias_value":"M4J7GJ2J","created_at":"2026-07-05T06:38:11Z"}],"graph_snapshots":[{"event_id":"sha256:47796f96091669ad443b55c494ae1807c86860c524fcbaa5ac0d175b167aad69","target":"graph","created_at":"2026-07-05T06:38:11Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2308.03060/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image Quality Assessment (IQA) is a fundamental task in computer vision that has witnessed remarkable progress with deep neural networks. Inspired by the characteristics of the human visual system, existing methods typically use a combination of global and local representations (\\ie, multi-scale features) to achieve superior performance. However, most of them adopt simple linear fusion of multi-scale features, and neglect their possibly complex relationship and interaction. In contrast, humans typically first form a global impression to locate important regions and then focus on local details ","authors_text":"Chaofeng Chen, Haoning Wu, Jiadi Mo, Jingwen Hou, Liang Liao, Qiong Yan, Weisi Lin, Wenxiu Sun","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-06T09:08:37Z","title":"TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2308.03060","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:22310eb1177de4e86f544ac893068039bccb0557130f38d4f7aa3326caf854c7","target":"record","created_at":"2026-07-05T06:38:11Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"c6434b70d7495d0c2f39e0940bcd386f3c6e76bfcd4d3c906f9aa10b2eabe115","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-08-06T09:08:37Z","title_canon_sha256":"c2516c9b605fb92fae4846628bf1bdac796923949c830fa0f74c6bd2941d34b2"},"schema_version":"1.0","source":{"id":"2308.03060","kind":"arxiv","version":1}},"canonical_sha256":"6713f327495cd790758e5d0cb3d2d66499af51bcecf1c7a3d7d221e2abe92df2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6713f327495cd790758e5d0cb3d2d66499af51bcecf1c7a3d7d221e2abe92df2","first_computed_at":"2026-07-05T06:38:11.373093Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:38:11.373093Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aUcPsGS9C7WU5kgwVFFoHephA+WzdMJHGNP4M92q9UX4hO4lM7x4EDc3Ffl6cQKXkoaxlqrDaOj6RNY8Jqw4Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:38:11.373588Z","signed_message":"canonical_sha256_bytes"},"source_id":"2308.03060","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22310eb1177de4e86f544ac893068039bccb0557130f38d4f7aa3326caf854c7","sha256:47796f96091669ad443b55c494ae1807c86860c524fcbaa5ac0d175b167aad69"],"state_sha256":"89ba9c49d1f51d9832d1adb47a744941900a18e732a5808837acba3800879467"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mSEo98X9tamrB3DceJ7pEJYZ0gElJ9km97edj8Wl3IYjbJx+ZtbWfoU2a/prCpDJzv5ZYqau5AMgvMfpqJsEDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T13:19:37.447335Z","bundle_sha256":"b94b0e66451711985f49e149f0bef5d0bb1d0b362ee23d9e6dc9e3c770dbbd7f"}}